A Hybrid Fuzzy-RBFN Filter for Data Classification
2015 ◽
Vol 1117
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pp. 261-264
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Keyword(s):
In this paper, a new filter network is presented that is based on Radial Base Function Networks (RBFNs). The output layer of the network is modified, in order to make it more effective in certain fuzzy control systems. The training of the network is solved by a clustering step, for which two different clustering methods are proposed. The suggested structure can efficiently be used for data classification.
2012 ◽
Vol 132
(12)
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pp. 936-941
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2005 ◽
Vol 8
(2)
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pp. 133-146
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Keyword(s):
1997 ◽
Vol 28
(3)
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pp. 297-308
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2003 ◽
Vol 139
(1)
◽
pp. 95-110
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2005 ◽
Vol 154
(2)
◽
pp. 157-181
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